Triple

T11903914
Position Surface form Disambiguated ID Type / Status
Subject Aigaleo E283225 entity
Predicate namedAfter P63 FINISHED
Object Aigaleo mountain E956574 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Aigaleo mountain | Statement: [Aigaleo, namedAfter, Aigaleo mountain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aigaleo mountain
Context triple: [Aigaleo, namedAfter, Aigaleo mountain]
  • A. Aigaleo mountain chosen
    Aigaleo mountain is a low, historically significant mountain range in western Athens, Greece, overlooking the city and the Saronic Gulf.
  • B. Monte Cavo
    Monte Cavo is a prominent volcanic peak in central Italy that forms part of the Alban Hills and has historically served as a strategic and religious site.
  • C. Monte Mutria
    Monte Mutria is a prominent peak in southern Italy known for its panoramic views and its location on the border between the regions of Campania and Molise.
  • D. Monte Cevedale
    Monte Cevedale is a prominent glaciated peak in the Ortler Alps of northern Italy, popular for mountaineering and alpine skiing.
  • E. Zelengora Mountain
    Zelengora Mountain is a scenic mountain range in southeastern Bosnia and Herzegovina, renowned for its pristine glacial lakes, rich biodiversity, and extensive hiking opportunities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd1792648190853f15fbf217eebd completed April 10, 2026, 11:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f5f63ac68c819090a0361a16e8452d completed May 2, 2026, 1:03 p.m.
Created at: April 8, 2026, 9:44 p.m.